I'm pleased to announce the release of NumPy 1.0.4.
NumPy is the fundamental package needed for scientific computing with
Python. It contains:
* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* basic linear algebra functions
* basic Fourier transforms
* sophisticated random number capabilities
* tools for integrating Fortran code.
Besides it's obvious scientific uses, NumPy can also be used as an
efficient multi-dimensional container of generic data. Arbitrary
data-types can be defined. This allows NumPy to seamlessly and
speedily integrate with a wide-variety of databases.
This is largely a bug fix release with one notable improvements:
- The NumPy and SciPy developers have decided to adopt the Python
naming convention for classes. So as of this release, TestCase
classes may now be prefixed with either 'test' or 'Test'. This will
allow us to write TestCase classes using the CapCase words, while
still accepting the old style names.
For information, please see the release notes:
http://sourceforge.net/project/shownotes.php?release_id=552568&group_id=1369
Thank you to everybody who contributed to the recent release.
Enjoy,
--
Jarrod Millman
Computational Infrastructure for Research Labs
10 Giannini Hall, UC Berkeley
phone: 510.643.4014
http://cirl.berkeley.edu/